[D] How do you ensure reproducibility?

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning
#Machine Learning #AI #Data Science #ML #Reproducibility

Our great sponsors
  • Sonar - Write Clean Python Code. Always.
  • InfluxDB - Access the most powerful time series database as a service
  • SaaSHub - Software Alternatives and Reviews
Our great sponsors

  • guildai

    Experiment tracking, ML developer tools

  • MLflow

    Open source platform for the machine learning lifecycle

  • Sonar

    Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.

  • dvc

    🦉 Data Version Control | Git for Data & Models | ML Experiments Management

    You'll want to add some reproducibility at the data layer, and several libraries exist, such as dvc (https://github.com/iterative/dvc, https://dvc.org/).

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts